Every figure this model derived for YDDL, the value it took, and
the element in the company's own XBRL it was read from — so any of it can be checked
against the filing rather than taken on trust.
As at 2025-12-31.
The figures, and where each came from
This is the part no other screener shows. Each figure below names the XBRL element it
was read from, so it can be checked against the filing itself.
Figure
Value
XBRL tag
As at
capex
29,591
PaymentsToAcquirePropertyPlantAndEquipment
2025-12-31
cash
957,285
CashAndCashEquivalentsAtCarryingValue
2025-12-31
current assets
38,952,937
AssetsCurrent
2025-12-31
current liabilities
10,908,746
LiabilitiesCurrent
2025-12-31
equity
41,821,126
StockholdersEquity
2025-12-31
interest expense
6,454
InterestExpenseNonoperating
2025-12-31
ocf
-9,732,429
NetCashProvidedByUsedInOperatingActivities
2025-12-31
revenue
65,822,739
Revenues
2025-12-31
The ratios
The figures themselves rather than their scores — what somebody looking up
YDDL on one particular measure came for.
Ratio
Value
cash operating margin
19.39
current ratio
3.57
current ratio reported
3.57
dilution pct
0.76
ebit cagr
27.8
ebit yoy
46.64
fcf margin
-14.83
interest cover
1837.37
operating margin
18.02
owner earnings margin
-14.83
revenue growth
23.12
revenue growth per share
22.18
roic
22.93
rule of 40
41.13
sbc pct revenue
0.0
What to be careful about
What this model itself distrusts about YDDL's figures. Written by the
derivation as it ran, not added afterwards.
revenue is annual, not TTM
operating income is annual, not TTM
no current stock compensation tagged; treated as zero, so owner earnings are overstated
no market cap; set `market_cap` in overrides.yaml
share count is from 2025-12-31 (242 days old, weighted average diluted); a stock split since then would make the market cap wrong. Set `market_cap` in overrides.yaml to be sure.
no forward EPS estimate; growth rests on filings only. Analyst consensus is not published in XBRL, so it has to be fetched from a data provider or set by hand in overrides.yaml as `eps_growth_2y`
valuation DROPPED from the total: only 0 of 2 inputs could be computed (ev sales, ev owner earnings not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
durability DROPPED from the total: only 2 of 4 inputs could be computed (worst year, contracted coverage not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
growth rests on 3 of 4 inputs; not tagged: sustained growth
2 of 5 dimensions could not be measured (valuation, durability -- 35% of the model), so this row is not comparable with the others; its total rests on what was left